Sensitive data is already flowing into AI systems across your organization—often without security teams knowing what data is being shared, where it's going, or how it's being used.
Employees are adopting AI tools at an unprecedented pace, while AI copilots, embedded AI features, and autonomous systems are gaining access to business data in ways that traditional security controls were never designed to monitor. From intellectual property and source code to customer and regulated data, organizations are facing new challenges in maintaining visibility and control.
In this webinar, we'll explore where AI is creating new data exposure risks, how shadow AI is expanding the attack surface, and what security teams can do to identify, monitor, and reduce AI-related risk across the enterprise.
You'll gain practical guidance for improving visibility into AI-driven data activity, evaluating AI-enabled applications and vendors, and implementing controls that support AI adoption without sacrificing security.
What You'll Learn
- Where AI tools, copilots, and agents are creating new security blind spots
- How shadow AI is expanding the enterprise attack surface
- Why visibility into AI-driven data access is becoming critical
- How to reduce sensitive data exposure across AI systems and workflows
- What security teams should evaluate in AI vendors, platforms, and embedded AI capabilities
- Practical approaches for balancing AI innovation with security and governance requirements
Earn 1 CPE credit
